Contrast-enhanced MRI-based intratumoral heterogeneity assessment for predicting lymph node metastasis in resectable pancreatic ductal adenocarcinoma
MRI-based habitat models can predict LN metastasis in PDAC. Both the radiomics model and clinical characteristics were useful for predicting LN metastasis in PDAC. The RHC models have the potential to enhance predictive accuracy and inform personalized therapeutic decisions.
Authors
- Jianjun Zhou (ORCID: https://orcid.org/0000-0003-4175-0513)
- Tianzhu Yu
- Tianyu Lu (ORCID: https://orcid.org/0000-0002-7958-1594)
- Junjian Shen
- Mengsu Zeng (ORCID: https://orcid.org/0000-0002-7342-0159)
- Yaolin Xu (ORCID: https://orcid.org/0000-0002-0971-518X)
- Haitao Sun (ORCID: https://orcid.org/0000-0003-4734-9683)
- Peng Wang
- Qin Li (ORCID: https://orcid.org/0000-0001-5455-6109)
- Lei Li (ORCID: https://orcid.org/0000-0001-6401-1460)
- Junhee Han (ORCID: https://orcid.org/0000-0001-5736-8752)
- Zongyu Xie (ORCID: https://orcid.org/0000-0003-1359-5157)
- Zirui Cao
Institutions
- Jiangnan University (CN)
- Shanghai Medical College of Fudan University (CN)
- Fudan University (CN)
- Jiaxing University (CN)
- Wuxi Fourth People's Hospital (CN)
- Zhongshan Hospital of Xiamen University (CN)
- Zhongshan Hospital (CN)
- United Imaging Healthcare (China) (CN)
- First Hospital of Jiaxing (CN)
- First Affiliated Hospital of Bengbu Medical College (CN)
- Jingning County People's Hospital (CN)
Publication Details
- Journal
- Insights into Imaging
- Published
- 2025-03-30
- DOI
- https://doi.org/10.1186/s13244-025-01956-0
- Citations
- 2
- Primary Topic
- Pancreatic and Hepatic Oncology Research
- Type
- article
- Field-Weighted Citation Impact
- 2.09
Funders
- China Postdoctoral Science Foundation